@404mediaco@mastodon.social
the argument broadly boils down to the point that any AI system is ultimately “mapmaker-dependent,” meaning it “requires an active, experiencing cognitive agent”—a human—to “alphabetize continuous physics into a finite set of meaningful states.” In other words, it needs a person to first organize the world in way that is useful to the AI system, like, for example, the way armies of low paid workers in Africa label images in order to create training data for AI.
“You have many other motivations as a human being. It's a bit more complicated than that, but all of those spring from the fact that you have to eat, breathe, and you have to constantly invest physical work just to stay alive, and no non-living system does that,” Jäger told me. “An LLM doesn't do that. It's just a bunch of patterns on a hard drive. Then it gets prompted and it runs until the task is finished and then it's done. So it doesn't have any intrinsic meaning. Its meaning comes from the way that some human agent externally has defined a meaning.”
oh hey, it's also they same thing I had concluded on my own